AI-ready Healthcare
By Anirban Mukhopadhyay, Henry Krumb
Listen to a podcast, please open Podcast Republic app. Available on Google Play Store and Apple App Store.
Image by Anirban Mukhopadhyay, Henry Krumb
Category: Medicine
Open in Apple Podcasts
Open RSS feed
Open Website
Rate for this podcast
Subscribers: 2
Reviews: 0
Episodes: 111
Description
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready.
I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.
| Episode | Date |
|---|---|
|
Vamsi Velcheti: Multimodal Oncology AI
|
Mar 30, 2026 |
|
Sara Moccia: Fetal Health Monitoring
|
Mar 24, 2026 |
|
Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic
|
Mar 17, 2026 |
|
Pierre Jannin: Responsible Medical AI
|
Mar 10, 2026 |
|
Mohammad Yaqub: MedicalAI made in Middle East
|
Mar 03, 2026 |
|
Nassir Navab: My journey
|
Dec 09, 2025 |
|
Francesco Ciompi: Pathology Discovery with Foundation Models
|
Dec 02, 2025 |
|
Miguel Angel Gonzalez Ballester: Shape, Uncertainty and Simulation
|
Nov 25, 2025 |
|
Sophia Bano: Context-aware Surgical Robotics
|
Nov 18, 2025 |
|
Bishesh Khanal: NAAMII - a model for low-resource excellence
|
Nov 11, 2025 |
|
100: Neural Cellular Automata, Part 2
|
Nov 04, 2025 |
|
John Kalkhof: Neural Cellular Automata, Part 1
|
Oct 28, 2025 |
|
Jakob Wasserthal: TotalSegmentator
|
Sep 08, 2025 |
|
Paul Barach: Trust technology for a Safer Healthcare culture
|
Sep 01, 2025 |
|
Jens Kleesiek: Treat Patients, Not Data
|
Aug 25, 2025 |
|
Ghazal Ghazaei: Total Surgery
|
Aug 18, 2025 |
|
Aleksei Tiulpin: Uncertain Medical VLMs
|
Aug 12, 2025 |
|
Pingkun Yan: Trustworthy XAI
|
Aug 04, 2025 |
|
Marco Lorenzi: FedBioMed
|
Jul 28, 2025 |
|
Ehsan Adeli: Ambient medical intelligence
|
Apr 28, 2025 |
|
Novelty
|
Apr 21, 2025 |
|
Veronika Cheplygina: The many lives of public datasets
|
Apr 14, 2025 |
|
Karim Lekadir: Health Equity in MICCAI
|
Apr 07, 2025 |
|
Zhongliang Jiang: Robotic Ultrasound
|
Mar 31, 2025 |
|
Linda Johnson: Clinical validation of ECG AI
|
Mar 25, 2025 |
|
Mauricio Reyes: XAI in Radiotherapy
|
Mar 18, 2025 |
|
Daniel Truhn: LLMs can perform Radiology Reporting
|
Dec 24, 2024 |
|
Drew Williamson: The PathChat Story
|
Dec 17, 2024 |
|
Jayashree kalpathy Cramer: Eye AI
|
Dec 10, 2024 |
|
Randy Ellis: Surgical AI in the Orthopaedics
|
Dec 03, 2024 |
|
Uta Schmidt-Straßburger: Oncology AI that empowers patients
|
Nov 26, 2024 |
|
Juan Verde: A surgeon making Operating Rooms AI-ready
|
Nov 19, 2024 |
|
Michael Levin: Collective and Diverse Intelligence
|
Nov 12, 2024 |
|
Maciej A. Mazurowski: SAM for Medical AI
|
Aug 26, 2024 |
|
Yiyu Shi: Resource-aware Medical AI
|
Aug 19, 2024 |
|
[MICCAI Special] On reviewing well
|
Aug 12, 2024 |
|
Hitesh Dave: The age of Computational Pathology
|
Aug 05, 2024 |
|
Saad Nadeem: Integrated Diagnostics
|
Jul 29, 2024 |
|
Naren Akash RJ: MICCAI Student Board
|
Jul 22, 2024 |
|
Islem Rekik: Graph Neural Nets for Brain Connectomics
|
Jul 15, 2024 |
|
Akshay Chaudhari: LLMs for Clinical Text Summarization
|
Apr 22, 2024 |
|
Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
|
Apr 15, 2024 |
|
H.R. Tizhoosh: Foundation models in Histopathology
|
Apr 08, 2024 |
|
S. Kevin Zhou: Building a Medical Time Machine
|
Apr 02, 2024 |
|
Alexander Hann: AI for endoscopic imaging
|
Mar 26, 2024 |
|
Damini Dey: Cardiology AI
|
Mar 19, 2024 |
|
Enzo Ferrante: Fairness in Medical AI
|
Mar 12, 2024 |
|
Joe Lennerz: Berlin Declaration of Health Data Sharing
|
Dec 19, 2023 |
|
Neel Dey: Invariances and Covariances of Medical Imaging
|
Dec 12, 2023 |
|
Maria Zuluaga: Trustworthy Medical AI
|
Dec 05, 2023 |
|
Heather Couture: Oncopathology AI
|
Nov 28, 2023 |
|
Pieter De Backer: AI-assisted Surgical Training
|
Nov 21, 2023 |
|
Camila Gonzalez: Medical Continual Learning
|
Nov 14, 2023 |
|
Shek Azizi: Google DeepMind's Foundational Medical Models
|
Nov 07, 2023 |
|
Dan Hashimoto: Making surgery AI-ready
|
Sep 04, 2023 |
|
Stephen Gilbert: AIaMD regulations
|
Aug 28, 2023 |
|
Nitika Pai: Global Digital Health
|
Aug 21, 2023 |
|
Swapnil Rane: Indian Image BioBank
|
Aug 14, 2023 |
|
Ishita Barua: Gender gap in health data
|
Aug 07, 2023 |
|
Raphael Sznitman: AI-powered Eye Surgery
|
Jul 31, 2023 |
|
Nifti 50
|
Jul 24, 2023 |
|
Nikos Paragios: AI-guided Precision Radiotherapy
|
May 01, 2023 |
|
Lene Topp: Science4Policy
|
Apr 24, 2023 |
|
Stefanie Speidel: Simulation in Surgical Data Science
|
Apr 17, 2023 |
|
Sotirios Tsaftaris: Causal Representation Learning
|
Apr 10, 2023 |
|
Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD
|
Apr 04, 2023 |
|
Sharib Ali: AI-powered Endoscopic Image Analysis
|
Mar 27, 2023 |
|
Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy
|
Mar 21, 2023 |
|
Monir El Azzouzi: Medical Device Regulation of AI SaMD
|
Dec 27, 2022 |
|
Monika Sonu: Frugal digital health innovation
|
Dec 20, 2022 |
|
Purang Abolmaesumi: Telehealth = POCUS+AI
|
Dec 13, 2022 |
|
Joseph Kvedar: Nurturing Digital Health through Nature
|
Dec 06, 2022 |
|
Andrew Janowczyk: Quality Assurance in histopathology images
|
Nov 29, 2022 |
|
Robert MacDougall: Quantivly's digital twin of radiology operations
|
Nov 22, 2022 |
|
Daniel Rückert: Federated Disentanglement
|
Nov 15, 2022 |
|
Jakob Nikolas Kather: Swarm intelligence for Oncology
|
Sep 05, 2022 |
|
Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
|
Aug 30, 2022 |
|
Sailesh Conjeti: MLOps for Healthcare AI
|
Aug 23, 2022 |
|
Ismini Lourentzou: Chest ImaGenome
|
Aug 15, 2022 |
|
Matthias Unberath: Forgotten Humans of Explainable AI
|
Aug 09, 2022 |
|
Taufique Joarder: Policy Questions of Healthcare AI
|
Aug 02, 2022 |
|
Stephen Aylward: The case of Open-source software
|
Jul 26, 2022 |
|
Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
|
Apr 12, 2022 |
|
Russ Taylor: The role of AI in Robotic Surgery
|
Apr 05, 2022 |
|
Ilker Hacihaliloglu: Ultrasound for all
|
Mar 29, 2022 |
|
Frank Xu: Baidu's AI, WHO's Digital Health & other stories
|
Mar 22, 2022 |
|
Lorenzo Righetto: Publishing MICCAI research into Nature Communications
|
Mar 15, 2022 |
|
Karsten Ridder: Communication is key for AI-ready Healthcare
|
Mar 08, 2022 |
|
Shuo Li: Will MICCAI 2022 be virtual?
|
Mar 01, 2022 |
|
Julia Schnabel: MICCAI goes to Africa
|
Dec 07, 2021 |
|
Anant Madabhushi: When MICCAI scientist meets Real Clinicians
|
Nov 30, 2021 |
|
Leo Joskowicz: Shaping up AI and MICCAI
|
Nov 23, 2021 |
|
Dan Stoyanov: Surgical Data Science 101
|
Nov 16, 2021 |
|
John Mongan: To buy or not to buy radiology AI
|
Nov 09, 2021 |
|
Qi Dou: Federated Learning for radiology
|
Nov 02, 2021 |
|
Andreas Maier: Known operator learning for medical imaging
|
Oct 26, 2021 |
|
Alex Frangi: Unlocking In-silico clinical trials
|
Sep 14, 2021 |
|
Yuri Tolkach: Silent Failures of Deep Digital Pathology
|
Sep 07, 2021 |
|
Marius Linguraru: Making babies fitter - within MICCAI and beyond
|
Aug 31, 2021 |
|
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
|
Aug 24, 2021 |
|
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
|
Aug 17, 2021 |
|
Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
|
Aug 10, 2021 |
|
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
|
Aug 03, 2021 |
|
Terry Peters: Beware of the nasty surprises from healthcare AI
|
Jun 15, 2021 |
|
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
|
Jun 08, 2021 |
|
Saif Afat: Does global radiology need AI?
|
Jun 01, 2021 |
|
Andreas Bucher: Why a German Radiologist should care about AI?
|
May 25, 2021 |
|
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
|
May 18, 2021 |
|
Sandy Engelhardt: Heart bits
|
May 11, 2021 |
|
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
|
May 05, 2021 |
|
Intro AI-ready Healthcare
|
Mar 31, 2021 |